Continuous quality improvement in statistical code: avoiding errors and improving transparency.
| Publicado en: | BMJ Quality & Safety Vol. 30; no. 3; pp. 240 - 245 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
BMJ Publishing Group
Mar2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=148842472&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 148842472 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20445415 BFNQ jtl: BMJ Quality & Safety issn: 20445415 maglogo: N pubinfo: dt: Mar2021 vid: 30 iid: 3 pid: 8280 pub: BMJ Publishing Group artinfo: ui: 148842472 148842472 148842472 10.1136/bmjqs-2020-012387 148842472 ppf: 240 ppct: 5 formats: tig: atl: Continuous quality improvement in statistical code: avoiding errors and improving transparency. aug: au: Valley, Thomas S. Kamdar, Neil Wiitala, Wyndy L. Ryan, Andrew M. Seelye, Sarah M. Waljee, Akbar K. Nallamothu, Brahmajee K. affil: Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan, USA sug: subj: Quality Improvement Coding Models, Statistical Quality of Care Research Health Care Errors Prevention and Control Health Services Research Reproducibility of Results Data Security Data Analytics pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|